Injury severity level and associated factors among road traffic accident victims attending emergency department of Tirunesh Beijing Hospital, Addis Ababa, Ethiopia: A cross sectional hospital-based study
Autoři:
Rediet Fikru Gebresenbet aff001; Anteneh Dirar Aliyu aff002
Působiště autorů:
Department of Clinical Trial, Armauer Hansen Research Institute, Addis Ababa, Ethiopia
aff001; Department of Public Health, Jimma University College of Public Health, Jimma, Ethiopia
aff002
Vyšlo v časopise:
PLoS ONE 14(9)
Kategorie:
Research Article
prolekare.web.journal.doi_sk:
https://doi.org/10.1371/journal.pone.0222793
Souhrn
Background
Road Traffic Accidents have become an enormous global public health problem killing approximately 1.25 million people and injuring 20 to 50 million others yearly. It is the 10th leading cause of death universally and the number one cause of mortality of the young population between the ages of 5 and 29. Only few studies have been conducted on the severity of road traffic injuries in Ethiopia hence the need for the study.
Objective
To assess injury severity level and associated factors among road traffic accident victims.
Methods
A cross-sectional study of patients involved in road traffic accident and attended Tirunesh Beijing hospital, Addis Ababa, Ethiopia. Victims were consecutively recruited until sample size (164) attained during the study period. Data collectors administered a structured questionnaire. The collected data was then entered and cleaned using Epi info and exported to IBM SPSS for statistical analysis. Independent factors associated with injury severity were assessed using bivariate and multivariate logistic regression.
Results
A total of 164 road traffic injury victims were included to the study. Prevalence of severe injury accounted for 36.6% of cases. “can read and write” educational status OR 35.194(95% CI; 3.325–372.539), sustaining multiple injury OR 18.400(95% CI; 5.402–62.671), sustaining multiple injury type OR 6.955(95% CI; 1.716–28.185) and being transported by ambulance from the scene of accident OR 13.800(95% CI; 1.481–128.635) were the explanatory variables found to have a statistically significant association with severe injury.
Conclusion
This study showed road traffic accident is predominantly affecting the economically active, male young population. Not a single victim received pre-hospital care, majority were extracted by bystanders and most used commercial vehicle to be transported to a health institution reflecting the need for improvements in pre-hospital emergency services and socio-economic related infrastructures.
Klíčová slova:
Critical care and emergency medicine – Socioeconomic aspects of health – Schools – Roads – Ambulances – Ethiopia – Traumatic injury – Road traffic collisions
Zdroje
1. OECD. OECD Health Statistics 2017 Definitions, Sources and Methods 2017 [updated June 2017]. 1]. Available from: http://www.oecd.org/health/health-data.htm.
2. WHO. Global status report on road safety 2015. 2015:ix, 2, 55 and 70.
3. WHO. Global status report on road safety time for action. 2009:vii-3.
4. WHO. The top 10 causes of death. WHO, 2017.
5. International Traffic Safety Data and Analysis Group. Reporting on Serious Road Traffic Casualties;Combining And Using Different Data Sources To Improve Understanding Of Non-fatal Road Traffic Crashes.
6. Milton JC, Shankar VN, Mannering FL. Highway accident severities and the mixed logit model:An exploratory empirical analysis. Accident analysis & Prevention. 2008:265.
7. Chen F, Chen S. Injury severities of truck drivers in single- and multi-vehicle accidents on rural highways. Accident analysis & Prevention. 2011;43(5):1677–88.
8. WHO. Global status report on road safety time for action. 2009:12.
9. WHO. Global status report on road safety 2015. 2015:X & XI.
10. WHO and The World Bank. World report on road traffic injury prevention—Main messages. 2004:2.
11. Marquez PV and Farrington JL. The challenge of non-communicable diseases and road traffic injuries in sub-saharan africa. The World Bank, 2013.
12. Private Sector Development Hub/Addis Ababa Chamber of Commerce and Sectoral Associations. The Management of Commercial Road Transport in Ethiopia 2009.
13. African Development Bank, Organisation for Economic Co-operation and Development, United Nations Development ProgrammeAfrican Economic Outlook 2017. 2017.
14. Deloitte Africa. Deloitte Africa Automotive insights Navigating the African Automotive Sector: Ethiopia, Kenya and Nigeria. 2016.
15. Tulu GS, Haque MM, Washington S, King MJ. Investigating Pedestrian Injury Crashes on Modern Roundabouts in Addis Ababa, Ethiopia Transportation Research Record Journal of the Transportation Research Board. 2015:14.
16. Misker D, Tunje A, Mengistu A, Abera F, Yalelet M, Gebrie M, et al. Magnitude and Factors Associated with Road Traffic Accident among Traumatized Patients in Arba Minch General hospital, 2017 International Journal of Public Health & Safety. 2017;2(3):3–5.
17. Eckersley W, Salmon R, Gebru M. Khat, driver impairment and road traffic injuries: a view from Ethiopia. Bull World Health Organ 2010;88:235–6. doi: 10.2471/BLT.09.067512 20428394
18. Mekonnen FH, Teshager S. Road traffic accident: The neglected health problem in Amhara National Regional State, Ethiopia. The Ethiopian Journal of Health Development. 2014:4–9
19. Asefa F, Assefa D, Tesfaye G. Magnitude of, trends in, and associated factors of road traffic collision in central Ethiopia. BioMedCentral. 2014:2–10.
20. Zewude BT. Determinants of Traffic Fatalities and Injuries in Wolaita Zone, Ethiopia The Journal of Civil and Environmental Research. 2016;8:38.
21. Seid M, Azazh A, Enquselassie F, Yisma E. Injury characteristics and outcome of road traffic accident among victims at Adult Emergency Department of Tikur Anbessa specialized hospital,Addis Ababa, Ethiopia: a prospective hospital based study. BioMedCentral. 2015:1.
22. Tiruneh BT, Dachew BA, Bifftu BB. Incidence of Road Traffic Injury and Associated Factors among Patients Visiting the Emergency Department of Tikur Anbessa Specialized Teaching Hospital, Addis Ababa, Ethiopia. Hindawi Publishing Corporation Emergency Medicine International 2014:1–3.
23. Federal Democratic Republic of Ethiopia Population Census Commission. Summary and Statistical Report of the 2007 Population and Housing Census Population Size by Age and Sex. 2008 December 2008. Report No:3.
24. The Federal Democratic Republic of Ethiopia Ministry of Health. Health Sector Transformation Plan2015. 18 p.
25. TiruneshBeijingHospital. 2019. Available from: http://www.tbghospital.com/pages/aboutus.php#.
26. Seid M, Azazh A, Enquselassie F, Yisma E. Injury characteristics and outcome of road traffic accident among victims at Adult Emergency Department of Tikur Anbessa specialized hospital, Addis Ababa, Ethiopia: a prospective hospital based study. BioMedCentral. 2015:5–8.
27. Hassen A, Godesso A, Abebe L, Girma E. Risky driving behaviors for road traffic accident among drivers in Mekele city, Northern Ethiopia BioMedCentral. 2011:3–5.
28. Tulu GS, Washington S, Haque MM, King MJ. Injury severity of pedestrians involved in road traffic crashes in Addis Ababa, Ethiopia. Journal of Transportation Safety & Security. 2016:8–17. doi: 10.4271/2016-01-1439
29. WHO. Injury Surveillance guideline: WHO in conjunction with CDC; 2001.
30. Baru A, Azazh A, Beza L. Injury severity levels and associated factors among road traffic collision victims referred to emergency departments of selected public hospitals in Addis Ababa, Ethiopia: the study based on the Haddon matrix. 2019. doi: 10.1186/s12873-018-0206-1 30606106
31. Mutooro SM, Mutakooha E, Kyamanywa P. A comparison of Kampala Trauma Score II with the New Injury Severity Score in Mbarara University Teaching Hospital in Uganda. East and Central African Journal of Surgery. 2010;15.
32. Racioppi F, Eriksson L, Tingvall C, Villaveces A. Preventing road traffic injury: A public health perspective for europe. WHO, 2004.
33. Al-Mugahed L. Khat Chewing in Yemen: Turning over a New Leaf: Khat Chewing Is on the Rise in Yemen, Raising Concerns about the Health and Social Consequences.Bull World Health Organ. 2008.
34. Boniface R, Museru L, Kiloloma O, Munthali V. Factors associated with road traffic injuries in Tanzania Pan African Medical Journal. 2016:2–3.
35. Mogaka EO, Ng’ang’a Z, Oundo J, Omolo J, Luman E. Factors associated with severity of road traffic injuries, Thika, Kenya Pan African Medical Journal. 2011:2–3.
36. Hailemichael F, Suleiman M, Pauolos W. Magnitude and outcomes of road traffic accidents at Hospitals in Wolaita Zone, SNNPR, Ethiopia. BMC Research Notes. 2015:2–5.
37. WHO and The World Bank. World report on road traffic injury prevention—Main messages. 2004:1–2.
38. Sami A, Najafi A, Yamini N, Moafian G, Aghabeigi MR, Lankarani KB, et al. Educational level and age as contributing factors to road traffic accidents. Chinese journal of traumatology. 2011:281–5.
39. Nantulya VM, Reich MR. Road traffic injuries in developing countries: Strategies for prevention and control 2012.
40. WHO. Global status report on road safety 2015. 2015:130.
41. Mohamed N, Batcha WA, Ahmad MS, Fahmi AM, Othman I. Alcohol and Drug Use among Fatally Injured Pedestrians Involved in Motor Vehicle Accidents. 2006–2009.
42. Abegaz T, Berhane Y, Worku A, Assrat A, Assefa A. Effects of excessive speeding and falling asleep while driving on crash injury severity in Ethiopia: A generalized ordered logit model analysis. Accident analysis & Prevention. 2014:18–20.
43. Tulu GS, Washington S, King MJ. Characteristics of Police-reported Road Traffic Crashes in Ethiopia over a Six Year Period Centre for Accident Research and Road Safety 2013:3–10.
44. WHO and The World Bank. World report on road traffic injury prevention. 2004.
45. Hamilton H, Hodge SD. Trauma, Emergency Medicine, And The Golden Hour. The Practical Litigator. 2011:27.
46. McFadden D, Train K. Mixed MNL models for discrete response. Journal of Applied Econometrics. 2000;15:447–70.
47. Guo Y, Li Z, Wu Y, Xu C. Exploring unobserved heterogeneity in bicyclists’ red-light running behaviors at different crossing facilities. Accident analysis & Prevention. 2018;115:118–27.
48. Guo Y, Osama A, Sayed T. A cross-comparison of different techniques for modeling macro-level cyclist crashes. Accident analysis & Prevention. 2018;113.
49. Guo Y, Li Z, Wu Y, Xu C. Evaluating factors affecting electric bike users’ registration of license plate in China using Bayesian approach. Transportation Research Part F: Traffic Psychology and Behaviour. 2018;59:212–21.
Článok vyšiel v časopise
PLOS One
2019 Číslo 9
- Metamizol jako analgetikum první volby: kdy, pro koho, jak a proč?
- Nejasný stín na plicích – kazuistika
- Masturbační chování žen v ČR − dotazníková studie
- Je Fuchsova endotelová dystrofie rohovky neurodegenerativní onemocnění?
- Fixní kombinace paracetamol/kodein nabízí synergické analgetické účinky
Najčítanejšie v tomto čísle
- Graviola (Annona muricata) attenuates behavioural alterations and testicular oxidative stress induced by streptozotocin in diabetic rats
- CH(II), a cerebroprotein hydrolysate, exhibits potential neuro-protective effect on Alzheimer’s disease
- Comparison between Aptima Assays (Hologic) and the Allplex STI Essential Assay (Seegene) for the diagnosis of Sexually transmitted infections
- Assessment of glucose-6-phosphate dehydrogenase activity using CareStart G6PD rapid diagnostic test and associated genetic variants in Plasmodium vivax malaria endemic setting in Mauritania